taxonopy
A Python package for efficiently aligning organismal taxonomic hierarchies using the Global Names Verifier
Science Score: 75.0%
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Low similarity (12.2%) to scientific vocabulary
Repository
A Python package for efficiently aligning organismal taxonomic hierarchies using the Global Names Verifier
Basic Info
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Metadata Files
README.md
TaxonoPy
TaxonoPy (taxon-o-py) is a command-line tool for creating an internally consistent taxonomic hierarchy using the Global Names Verifier (gnverifier). See below for the structure of inputs and outputs.
Purpose
The motivation for this package is to create an internally consistent and standardized classification set for organisms in a large biodiversity dataset composed from different data providers that may use very similar and overlapping but not identical taxonomic hierarchies.
Its development has been driven by its application in the TreeOfLife-200M (TOL) dataset. This dataset contains over 200 million samples of organisms from four core data providers:
- The Global Biodiversity Information Facility (GBIF)
- BIOSCAN-5M
- FathomNet
- The Encyclopedia of Life (EOL)
The names (and classification) of taxa may be (and often are) inconsistent across these resources. This package addresses this problem by creating an internally consistent classification set for such taxa.
Input
A directory containing Parquet partitions of the seven-rank Linnaean taxonomic metadata for organisms in the dataset. Labels should include:
- uuid: a unique identifier for each sample (required).
- kingdom, phylum, class, order, family, genus, species: the taxonomic ranks of the organism (required, may have sparsity).
- scientific_name: the scientific name of the organism, to the most specific rank available (optional).
- common_name: the common (i.e. vernacular) name of the organism (optional).
See the example data in
- examples/input/sample.parquet
- examples/resolved/sample.resolved.parquet (generated with taxonopy resolve)
- examples/resolved_with_common_names/sample.resolved.parquet (generated with taxonopy common-names)
Challenges
This taxonomy information is provided by each data provider and the original sources, but the classification can be...
- Inconsistent: both between and within sources (e.g. kingdom Metazoa vs. Animalia).
- Incomplete: many samples are missing one or more ranks. Some have 'holes' where higher and lower ranks are present, but intermediate ranks are missing.
- Incorrect: some samples have incorrect classifications. This can come in the form of spelling errors, nonstandard ideosyncratic terms, or outdated classifications.
- Ambiguous: homonyms, synonyms, and other terms that can be interpreted in multiple ways unless handled systematically.
Taxonomic authorities exist to standardize classification, but ... - There are many authorities. - They may disagree. - A given organism may be missing from some.
Solution
TaxonoPy uses the taxonomic hierarchies provided by the TOL core data providers to query GNVerifier and create a standardized classification for each sample in the TOL dataset. It prioritizes the GBIF Backbone Taxonomy, since this represents the largest part of the TOL dataset. Where GBIF misses, backup sources such as the Catalogue of Life and Open Tree of Life (OTOL) Reference Taxonomy are used.
Installation
TaxonoPy can be installed with pip after setting up a virtual environment.
User Installation with pip
To install the latest version of TaxonoPy, run:
console
pip install taxonopy
Usage
You may view the help for the command line interface by running:
console
taxonopy --help
This will show you the available commands and options:
```console
usage: taxonopy [-h] [--cache-dir CACHE_DIR] [--show-cache-path] [--cache-stats] [--clear-cache] [--show-config] [--version] {resolve,trace,common-names} ...
TaxonoPy: Resolve taxonomic names using GNVerifier and trace data provenance.
positional arguments: {resolve,trace,common-names} resolve Run the taxonomic resolution workflow trace Trace data provenance of TaxonoPy objects common-names Merge vernacular names (post-process) into resolved outputs
options: -h, --help show this help message and exit --cache-dir CACHEDIR Directory for TaxonoPy cache (can also be set with TAXONOPYCACHE_DIR environment variable) (default: None) --show-cache-path Display the current cache directory path and exit (default: False) --cache-stats Display statistics about the cache and exit (default: False) --clear-cache Clear the TaxonoPy object cache. May be used in isolation. (default: False) --show-config Show current configuration and exit (default: False) --version Show version number and exit ```
Command: resolve
The resolve command is used to perform taxonomic resolution on a dataset. It takes a directory of Parquet partitions as input and outputs a directory of resolved Parquet partitions.
```
usage: taxonopy resolve [-h] -i INPUT -o OUTPUT_DIR [--output-format {csv,parquet}] [--log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL}] [--log-file LOG_FILE] [--force-input] [--batch-size BATCH_SIZE] [--all-matches]
[--capitalize] [--fuzzy-uninomial] [--fuzzy-relaxed] [--species-group] [--refresh-cache]
options: -h, --help show this help message and exit -i, --input INPUT Path to input Parquet or CSV file/directory -o, --output-dir OUTPUTDIR Directory to save resolved and unsolved output files --output-format {csv,parquet} Output file format --log-level {DEBUG,INFO,WARNING,ERROR,CRITICAL} Set logging level --log-file LOGFILE Optional file to write logs to --force-input Force use of input metadata without resolution
GNVerifier Settings: --batch-size BATCH_SIZE Max number of name queries per GNVerifier API/subprocess call --all-matches Return all matches instead of just the best one --capitalize Capitalize the first letter of each name --fuzzy-uninomial Enable fuzzy matching for uninomial names --fuzzy-relaxed Relax fuzzy matching criteria --species-group Enable group species matching
Cache Management: --refresh-cache Force refresh of cached objects (input parsing, grouping) before running. ``` It is recommended to keep GNVerifier settings at their defaults.
Command: trace
The trace command is used to trace the provenance of a taxonomic entry. It takes a UUID and an input path as arguments and outputs the full path of the entry through TaxonoPy.
```console
usage: taxonopy trace [-h] {entry} ...
positional arguments: {entry} entry Trace an individual taxonomic entry by UUID
options: -h, --help show this help message and exit
usage: taxonopy trace entry [-h] --uuid UUID --from-input FROM_INPUT [--format {json,text}] [--verbose]
options: -h, --help show this help message and exit --uuid UUID UUID of the taxonomic entry --from-input FROM_INPUT Path to the original input dataset --format {json,text} Output format --verbose Show full details including all UUIDs in group ```
Command: common-names
The common-names command is used to merge vernacular names into the resolved output. It takes a directory of resolved Parquet partitions as input and outputs a directory of resolved Parquet partitions with common names.
```console
usage: taxonopy common-names [-h] --resolved-dir ANNOTATIONDIR --output-dir OUTPUTDIR
options:
-h, --help show this help message and exit
--resolved-dir ANNOTATIONDIR
Directory containing your *.resolved.parquet files
--output-dir OUTPUTDIR
Directory to write annotated .parquet files
``
Note that thecommon-namescommand is a post-processing step and should be run after theresolve` command.
Example Usage
To perform taxonomic resolution on a dataset with subsequent common name annotation, run:
console
taxonopy resolve \
--input /path/to/formatted/input \
--output-dir /path/to/resolved/output
console
taxonopy common-names \
--resolved-dir /path/to/resolved/output \
--output-dir /path/to/resolved_with_common-names/output
TaxonoPy creates a cache of the objects associated with input entries for use with the trace command. By default, this cache is stored in the ~/.cache/taxonopy directory.
Development
See the Wiki Development Page for development instructions.
Owner
- Name: Imageomics Institute
- Login: Imageomics
- Kind: organization
- Website: https://imageomics.osu.edu
- Twitter: imageomics
- Repositories: 4
- Profile: https://github.com/Imageomics
Citation (CITATION.cff)
abstract: "A Python package for efficiently aligning organismal taxonomic hierarchies using the Global Names Verifier."
authors:
- family-names: "Thompson"
given-names: "Matthew J."
orcid: "https://orcid.org/0000-0003-0583-8585"
- family-names: "Campolongo"
given-names: "Elizabeth G."
orcid: "https://orcid.org/0000-0003-0846-2413"
cff-version: 1.2.0
date-released: "2025-05-23"
identifiers:
- description: "The GitHub release URL of tag v0.1.0-beta."
type: url
value: "https://github.com/Imageomics/TaxonoPy/releases/tag/v0.1.0-beta"
- description: "The GitHub URL of the commit tagged with v0.1.0-beta"
type: url
value: "https://github.com/Imageomics/TaxonoPy/tree/b3ddeb8eb05d09c15c417ce2d2a4354a2a6fa49d"
keywords:
- imageomics
- taxonomy
- "taxonomic resolution"
- "tree of life"
- alignment
- hierarchy
references:
- type: software
title: "GNverifier -- a reconciler and resolver of scientific names against more than 100 data sources."
version: "v1.2.2"
authors:
- family-names: "Mozzherin"
given-names: "Dmitry"
orcid: "https://orcid.org/0000-0003-1593-1417"
repository-code: "https://github.com/gnames/gnverifier"
date-released: "2024-11-04"
doi: 10.5281/zenodo.10070488
license: MIT
license: MIT
message: "If you use this software, please cite it using the metadata from this file."
repository-code: "https://github.com/Imageomics/TaxonoPy"
title: "TaxonoPy"
version: "0.1.0-beta"
doi: "10.5281/zenodo.15499454"
type: software
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pypi.org: taxonopy
A Python package for resolving taxonomic hierarchies using the Global Names Verifier API.
- Documentation: https://github.com/Imageomics/TaxonoPy
- License: MIT License Copyright (c) 2025 Imageomics Institute Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 0.1.0b0
published 9 months ago
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Dependencies
- actions/checkout v4 composite
- actions/setup-python v5 composite
- pypa/gh-action-pypi-publish release/v1 composite
- pandas *
- polars *
- pyarrow *
- pydantic *
- requests *
- tqdm *